{"id":"https://openalex.org/W2029712547","doi":"https://doi.org/10.1145/1458502.1458525","title":"Online selection of parameters in the rocchio algorithm for identifying interesting news articles","display_name":"Online selection of parameters in the rocchio algorithm for identifying interesting news articles","publication_year":2008,"publication_date":"2008-10-30","ids":{"openalex":"https://openalex.org/W2029712547","doi":"https://doi.org/10.1145/1458502.1458525","mag":"2029712547"},"language":"en","primary_location":{"id":"doi:10.1145/1458502.1458525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458502.1458525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM workshop on Web information and data management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056075765","display_name":"Raymond K. Pon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139270","display_name":"UtopiaCompression (United States)","ror":"https://ror.org/051d4q284","country_code":"US","type":"company","lineage":["https://openalex.org/I4210139270"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raymond K. Pon","raw_affiliation_strings":["UC Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"UC Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I4210139270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112054060","display_name":"Alfonso F. C\u00e1rdenas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139270","display_name":"UtopiaCompression (United States)","ror":"https://ror.org/051d4q284","country_code":"US","type":"company","lineage":["https://openalex.org/I4210139270"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alfonso F. C\u00e1rdenas","raw_affiliation_strings":["UC Los Angles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"UC Los Angles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I4210139270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059372087","display_name":"David Buttler","orcid":"https://orcid.org/0000-0001-7818-715X"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Buttler","raw_affiliation_strings":["Lawrence Livermore National Laboratory, Livermore, CA, USA"],"affiliations":[{"raw_affiliation_string":"Lawrence Livermore National Laboratory, Livermore, CA, USA","institution_ids":["https://openalex.org/I1282311441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056075765"],"corresponding_institution_ids":["https://openalex.org/I4210139270"],"apc_list":null,"apc_paid":null,"fwci":2.3463,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89712651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8506872653961182},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6067428588867188},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5422012805938721},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5107154846191406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5101023316383362},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4725867211818695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46846574544906616},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.443753182888031},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.44350603222846985},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35726067423820496},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07929334044456482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8506872653961182},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6067428588867188},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5422012805938721},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5107154846191406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5101023316383362},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4725867211818695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46846574544906616},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.443753182888031},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.44350603222846985},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35726067423820496},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07929334044456482},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1458502.1458525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458502.1458525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM workshop on Web information and data management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.153.9246","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.9246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ucla.edu/~cardenas/papers/widm02_pon.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8999999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338286","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W41810813","https://openalex.org/W1573773817","https://openalex.org/W1980048092","https://openalex.org/W2008931716","https://openalex.org/W2040424159","https://openalex.org/W2093100074","https://openalex.org/W2096152098","https://openalex.org/W2117311203","https://openalex.org/W2164547069","https://openalex.org/W2643544958","https://openalex.org/W3022367082","https://openalex.org/W6661805154"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W2389015757"],"abstract_inverted_index":{"We":[0,70],"show":[1,71],"that":[2,72,96,105],"users":[3],"have":[4,102],"different":[5,16,24],"reading":[6],"behavior":[7,67],"when":[8],"evaluating":[9],"the":[10,41,77,119],"interestingness":[11],"of":[12,48,79],"articles,":[13],"calling":[14],"for":[15,19,23,34],"parameter":[17,58,107],"configurations":[18],"information":[20,36],"retrieval":[21,37,82],"algorithms":[22,93,95],"users.":[25,69],"Better":[26],"recommendation":[27,85],"results":[28,113],"can":[29,61,87,109],"be":[30,88],"made":[31],"if":[32],"parameters":[33,78],"common":[35],"algorithms,":[38],"such":[39],"as":[40,90],"Rocchio":[42,60],"algorithm,":[43,83],"are":[44],"learned":[45],"dynamically":[46,55],"instead":[47],"being":[49],"statically":[50],"fixed":[51],"a":[52,80],"priori.":[53],"By":[54],"learning":[56,75,108],"good":[57],"configurations,":[59],"adapt":[62],"to":[63],"differences":[64],"in":[65],"user":[66],"among":[68],"by":[73],"adaptively":[74],"online":[76,106],"simple":[81],"similar":[84],"performance":[86],"achieved":[89],"more":[91],"complex":[92],"or":[94],"require":[97],"extensive":[98],"fine-tuning.":[99],"Also":[100],"we":[101],"also":[103],"shon":[104],"yield":[110],"10%":[111],"better":[112],"than":[114],"best":[115],"performing":[116],"filter":[117,122],"from":[118],"TREC11":[120],"adaptive":[121],"task.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
